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Gesture based Messaging Display good accuracy

8000     12000
You Save 33% (Inclusive of all taxes)
  • Availibility: In Stock

Product Specification

  1. Product Name: Gesture-Based Messaging Display
  2. Version: 1.0
  3. Platform: Python 3.x
  4. Hardware Requirements:
    • Camera Module (for capturing gestures)
    • Raspberry Pi, PC, or similar computing device
    • Display Screen (for showing messages)
  5. Software Requirements:
    • Python 3.x
    • OpenCV library for image processing
    • TensorFlow/Keras or PyTorch (for gesture recognition model)
    • Numpy library
    • Flask (optional, for web interface)
  6. Functional Requirements:
    • Real-time gesture detection and recognition
    • Mapping of recognized gestures to predefined messages
    • Display of messages on a screen based on recognized gestures
    • User-friendly interface for managing gestures and messages
  7. Non-functional Requirements:
    • High accuracy in gesture recognition
    • Low latency in processing and message display
    • Robustness and reliability in various lighting conditions
    • Scalability for different types of gestures and messages

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Description

Key Features:

  1. Real-time Gesture Detection and Recognition:

    • The system captures real-time video streams using a camera module.
    • Hand gestures are detected and recognized using a pre-trained machine learning model.

  2. Gesture-to-Message Mapping:

    • Recognized gestures are mapped to corresponding predefined messages.
    • The system can be configured to support various gestures and messages.

  3. Message Display:

    • The system displays the mapped message on a screen in real-time.
    • Messages can be displayed on a connected display screen or via a web interface.

  4. User Management:

    • An administrative interface allows for managing gestures and associated messages.
    • Users can add, modify, or delete gestures and messages as needed.

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